iPad14,4
Geekbench AI Score
6943
Single Precision Score
7814
Half Precision Score
6887
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 11:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3626
674.3 IPS |
|
|
Image Classification (HP)
|
100% |
3579
665.6 IPS |
|
|
Image Classification (Q)
|
97% |
2956
551.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5012
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5087
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24457
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26240
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24437
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3548
281.4 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
91% |
3050
243.7 IPS |
|
|
Face Detection (SP)
|
100% |
10403
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
11989
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
8497
101.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16618
128.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17707
136.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14744
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42857
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48435
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45412
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9803
362.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10095
372.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7955
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3687
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
